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Joseph Weston
kwant
Commits
2924c122
Commit
2924c122
authored
12 years ago
by
Christoph Groth
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update TODO
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2924c122
Roughly in order of importance. -*-org-*-
* Enhance the line argument of kwant.plotter.plot
It could understand "hopping kinds" in the same way possible_hoppings does.
* Rethink site group equivalence
* Provide nice support for graphene double layers
This could be done by allowing lattices to be shifted, or in some other way.
* Make kwant run on windows
* Benchmark MUMPS and check whether nested dissection would be useful.
If yes, implement it.
* Implement "lead freezing"
* Make kwant objects pickleable.
* Add calculation of current density
* Consider making the b parameter of _solve_linear_sys a matrix instead of a
list of matrices
* Find a nice way to organize / deal with ldos or wave_func output when the
number of orbitals per site varies
* Add a (tutorial?) example with kwant.plotter.map
* fix physics.noise (docstring, __all__, etc.)
* Verify that selective plotting works.
* Write an RGF solver that uses graph/slicer.
* Add support for easily adding magnetic field to a system.
* Allow plotting of infinite systems
* Use sparse linear algebra to calculate bands
However, SciPy's sparse eigenvalues don't seem to work well.
...
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@@ -18,9 +33,10 @@ Roughly in order of importance. -*-org-*-
The most easy way to do this is increasing the period of the lead.
Alternatively, generalize modes and InfiniteSystem format.
* Optionally show site coordinates when plotting a system.
* Benchmark MUMPS and check whether nested dissection would be useful.
If yes, implement it.
*
Add support for easily adding magnetic field to a system
.
*
Make kwant objects pickleable
.
* "shape" doesn't work for leads when only checking y (and not x)
Make it aware of symmetries.
...
...
@@ -30,24 +46,17 @@ Roughly in order of importance. -*-org-*-
way to do it is to sort the sites in finalized builders.)
One could than also RLE compress sites in finalized builders.
* Selective plotting (function).
* Do not save packed sites of neighbors.
* Consider (optionally) only saving packed sites for which functions are called
* In finalized leads, only keep the sites of the slice.
* Generalize InfiniteSystem to multiple directions.
* Add support for optimization of lead fundamental domains.
* Write a module to generate "functional" random numbers.
This is a good starting point:
http://www.cs.umbc.edu/~olano/papers/GPUTEA.pdf
That module should probably use (hardware accelerated) AES encryption.
* Incorprorate efficient correlated disorder using scipy.spatial.
* Write an RGF/SM solver which uses graph/slicer.
* Implement the C solver interface.
* Wrap TB_SIM as a solver.
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